The real cost to run vlt5 base keywords

Voicelab · 300M parameters · 8.2K context · commercial OK

vlt5 base keywords — 0.3B params (Voicelab). Auto-indexed from the Hugging Face Hub (91,300 downloads). Parameter count is exact; context window, download size, and quantizations are estimates.

What it costs to run vlt5 base keywords — $0 markup

On your own machine — $0. Runs free locally if you have about 2 GB of VRAM at Q4_K_M (point Spanvero at LM Studio, Ollama, or llama.cpp).
On your own rented GPU — from $0.26/hr. NVIDIA RTX 3090 24GB at the direct Vast.ai price (≈ $0.02 a session), $0 markup.
Via your own API key — $0.10/1M tokens (blended input + output). No GPU to manage (rough estimate for this size).

Key facts

Parameters	300M
Context window	8.2K tokens
Recommended quant	Q4_K_M
VRAM to run	~2 GB (at Q4_K_M, 8.2K context)
Download size	~1 GB
License	Commercial use OK

Open the free Spanvero advisor → for the live, interactive math for your exact workload and hardware.

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